Since November 2022, when Openai released ChatgptThe world has been talking about Artificial intelligence (AI) nonstop. The story has mainly been that AI is a kind of super intelligence that can do everything and everything, whether it is advantageous or disadvantage to society.
But AI as super intelligence who manifests itself in several different forms that range from “agents” to “your personal secretary” never seemed to really realize, and even when they were brought to life, they have become unhappy or flew under the radar.
Which makes you wonder: how are people actually Using AI? And even more important, what is AI’s killer -app, what is it that really sticks?
What is the top use case for AI?
Similar to the AI -Superintell League We have been promised, consensus on what AI’s murderer -App IS has generally been difficult to capture.
Because AI can be and do so many different things for so many different people, there was never really a consensus about what Top use case by AI where or is. But it is starting to change.
Data is starting to emerge which suggests that AI’s killer app is “search” and that the AI app has killed is the search engine.
Recently, Wall Street Journal (WSJ) Explored The effect like AI, especially Googles (Nasdaq: Googl) AI overview toolsHas on the search results, and the results were significant. Many of the world’s most famous digital publishers (Huffpost, Business Insider, The New York Times, The Washington Post, and Wall Street Journal) reported it traffic They got to their desks and mobile websites through organic search is down and that it has a significant impact on their companies because of AI.
Why organic search traffic decreases
Organic search is unpaid search traffic. It is when a user writes a question to a search engine, returned to a sea of blue links related to their search substance on multiple pages and then click on one of these links to find the information or answer to the question they had. In many cases, depending on the topic that is sought, the link points to an article on a publisher’s website.
Organic search has grown to be a critical component for many of these publishers and is often the largest traffic driver to his websites and accounts for 40% to 60% of all traffic in some cases. This traffic is translated directly to income For the publisher because more visits are equal to more ad prints, which is equal to more advertising revenue.
That being said, publishers sometimes go a lot to get their articles to appear higher in the search results through different SEO methods. However, this changes everything to the disadvantage for publishers, thanks to AI.
How AI-Driven Search changes the user
Due to AI, organic search traffic has drastically decreased. According to WSJ Report, organic search traffic to websites owned by Business Insider decreased by 55% between April 2022 and April 2025; Traffic was down 7.5% for New York Times and 5% too WSJ during the same period.
Why does this happen? Due to AI-infused applicants and platforms, a significant portion of users are actually not clicking through to the linked articles that appear in search engines anymore.
Many search platforms, most important of all Google, which handle the majority of the world’s search volume, have implemented AI in its search engines. Whether it is AI-generated summaries (as in Google’s AI overview) or directly answer user questions (as Chatgpt does), AI fundamental changes how people interact with the search.
Traditionally, a user would write a question in Google, get a list of links and click through to a publisher’s website to read the entire article. But with AI-driven search, the last step disappears to click on the link and spend time on the publisher’s website.
Tools that Google’s AI overlook scan on the web, draw information from several sources (often including articles from larger publishers) and show a synthesized response at the top of the search page. There is often no need to click on links or read articles. Chatbot-style interface as chatgpt or Google’s new AI mode Take this even further by engaging users in a call questions and A-format and giving answers in real time with very few links that appear. Sometimes they will not even show links unless the user explicitly encourages AI to provide sources.
In both cases, the AI replaces the click process, which is exactly why the publishers see their organic search traffic nosedive.
Why AI search wins with users
AI searches and summaries are simply more effective for users.
Instead of sorting through multiple websites in search of the exact information they are looking for, users now become fast, clear, direct answers when using AI-driven search. This new AI search work flow cuts out the friction of the traditional search engine process, which saves users valuable time by giving answers that are easier to digest.
Unfortunately for publishers or any company that relies on web traffic from search engines, AI-driven search is a large tower in the side of their Business modelsAlthough it is an obvious win for users.
More than any ‘personal assistant’ or futuristic agent forms AI’s true killer -app to be searching. Although the idea of improved search is not as flashy as having a full information for us from the end to the end (agents) or achieving the “super intelligence”, AI-driven search is a very large, practical market that was delayed for an upgrade. In addition to this, the search case case is available, which I believe has been one of the biggest obstacles to wider AI Agent Adoption.
AI-driven search does not require users to have specialized knowledge in addition to knowing which search engine they want to use and what questions they want to ask. More advanced AI concepts like agents Is not other nature for most consumers yet and is likely to require some kind of re -education campaign before most people have skills and understanding to get the most out of these systems.
This makes me believe that AI may have been over -complicated and over -promised and that its builders will see more success and much needed profit they seek By building “simple” products and optimizing “simple” processes because it can only be the simplicity of AI-driven search that makes it so dominant. Without the need to re -form how a process works or the need to learn a whole new system or workflow before they jump in, users are of course forced against AI search. That is why searching, more than anything else, shapes to be AI’s killer app.
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Watch: Demonstrates the potential for blockchains fusion with AI
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